Tensorflow2 Keras-based Semantic Segmentation Models Implementation

Last update: Feb 08, 2022

Overview

Semantic-Segmentation-Tensorflow2-Keras

Tensorflow2 Keras-based Semantic Segmentation Models Implementation

FCN: https://openaccess.thecvf.com/content_cvpr_2015/papers/Long_Fully_Convolutional_Networks_2015_CVPR_paper.pdf

UNet: https://link.springer.com/content/pdf/10.1007/978-3-319-24574-4_28.pdf

SegNet: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7803544

FusionNet: https://arxiv.org/ftp/arxiv/papers/1612/1612.05360.pdf

DeepLabV3+: https://arxiv.org/pdf/1802.02611.pdf

Owner

Hah Min Lew

GitHub Repository

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This project aims at providing a concise, easy-to-use, modifiable reference implementation for semantic segmentation models using PyTorch.

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

2.4k Jan 08, 2023

Tensorflow2 Keras-based Semantic Segmentation Models Implementation

Related tags

Overview

Semantic-Segmentation-Tensorflow2-Keras

Owner

Hah Min Lew

PyTorch implementation for the visual prior component (i.e. perception module) of the Visually Grounded Physics Learner [Li et al., 2020].

Source code for the paper "PLOME: Pre-training with Misspelled Knowledge for Chinese Spelling Correction" in ACL2021

Code for MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks

This is the code of paper ``Contrastive Coding for Active Learning under Class Distribution Mismatch'' with python.

Locally cache assets that are normally streamed in POPULATION: ONE

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Code and data for ACL2021 paper Cross-Lingual Abstractive Summarization with Limited Parallel Resources.

Code for the paper "Generative design of breakwaters usign deep convolutional neural network as a surrogate model"

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Multistream CNN for Robust Acoustic Modeling

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Final report with code for KAIST Course KSE 801.

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Head2Toe: Utilizing Intermediate Representations for Better OOD Generalization

MultiMix: Sparingly Supervised, Extreme Multitask Learning From Medical Images (ISBI 2021, MELBA 2021)

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